Hybrid AI Model Tames the Seasons to Predict Wind Power More Accurately
Researchers have built a hybrid LSTM-BiLSTM deep learning model that adapts to seasonal wind patterns and outperforms transformers while using ...
Researchers have built a hybrid LSTM-BiLSTM deep learning model that adapts to seasonal wind patterns and outperforms transformers while using ...
A new panel data study of India, Brazil, South Africa, and Indonesia finds that food waste's independent effect on carbon ...
Researchers in Iraq used the harmony search optimization algorithm to show that a proposed pair of small reservoirs on the ...
Ethiopian researchers have converted invasive water hyacinth from Lake Abaya and Lake Chamo into charcoal briquettes, finding that molasses-bound formulations ...
A new edited volume outlines practical, policy-driven zero-waste strategies for reducing food, plastic, electronic and hazardous waste across tourism destinations, ...
A new simulation study shows that pairing solar panels with battery storage at an island municipal water pumping station can ...
A new 30-year analysis of Sweden finds that green technology innovation and R&D spending significantly boost long-term productivity, while renewable ...
A new Nature Climate Change study finds that flash energy droughts, abrupt and prolonged collapses in wind and solar output, ...
A pilot study in Nigeria shows that anaerobic digestion of poultry droppings in a continuous stirred tank reactor can produce ...
A coupled alkaline electrolysis and vacuum distillation system demonstrated at 250 kW uses electrolyzer waste heat to convert seawater into ...
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© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine